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Finance and payments · MCP server

MCP eastmoney: MCP server, setup and security

MCP eastmoney is an open-source MCP server published on GitHub that lets an AI agent retrieve China A-share quotes, capital flow rankings and historical candlestick data. Its repository has 17 stars and its last commit is from June 19, 2026 and it is licensed under MIT.

Score
45/100
Adoption (stars) 12/40
Maintenance 18/30
Framework (licence, registry, official) 15/30
Last commit 4 months ago

What MCP eastmoney does

According to its repository: “China A-share market data via Eastmoney: real-time quotes, main capital flow rankings, sector fund flows and historical K-lines.”

The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. MCP eastmoney is listed under Finance and payments, a category of 202 servers in the directory, where it ranks #84 by stars.

Topics declared by the repository: a-share, china-stock, cursor, eastmoney, finance, claude-code.

Installing and connecting MCP eastmoney

No package or remote server is declared in the official MCP registry: you install it from source, following the repository README.

It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: Python. Listed systems: macOS, Windows, Linux.

Security: what to check

Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to MCP eastmoney. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on June 13, 2026, the 27dream/mcp-eastmoney repository has 17 stars and 6 forks, with 0 open issues. It has more stars than 35% of the servers in the directory. Last change 4 months ago.

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

Finance ToolkitFinance Toolkit : 5.5K5.5KTradingMCPTradingMCP : 5.1K5.1KTradememory protocolTradememory protocol : 1.4K1.4KCNEquityCNEquity : 846846Metatrader MCP serverMetatrader MCP server : 837837EVMoleEVMole : 473473OpenAccountantsOpenAccountants : 460460AkTools MCP ServerAkTools MCP Server : 391391MCP eastmoneyMCP eastmoney : 1717
GitHub stars of the most followed servers in the category (log scale); MCP eastmoney in orange. Checked October 25, 2026.

Verdict

MCP eastmoney is still a modest project: read its code and compare it with the alternatives before using it.

Strengths

  • Permissive licence (MIT)

Limitations

  • Install from source

Frequently asked questions

How do I install MCP eastmoney?

No package is declared in the MCP registry: clone the 27dream/mcp-eastmoney repository, follow its README, then declare the start command in your client's MCP configuration.

Is MCP eastmoney free?

The code is published under the MIT licence and can be used free of charge.

Is MCP eastmoney safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Nothing says so: it is a project published by 27dream on GitHub. Check who maintains it before giving it access.

What are the alternatives to MCP eastmoney?

In the same category: TradingMCP, Finance Toolkit, Tradememory protocol, and Tapetide Indian Stock Market MCP. TradingMCP and Finance Toolkit score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score